Explaining Renewable Electricity Expansion in Europe: Structural Conditions, Diffusion, and Leadership
欧州における再生可能電力拡大の説明：構造的条件、普及、リーダーシップ (AI 翻訳)
Juan Luis Santos
🤖 gxceed AI 要約
日本語
欧州34カ国を対象に、風力・太陽光発電の拡大をエージェントベースモデルで分析。国内の積極性、国際的な反応性、国固有のリーダーシップの三要素に分解し、経済・地理・政策・技術成熟度などの影響を評価。リトアニアやハンガリーなどのリーダー国を特定し、構造的条件が良好でも拡大が遅れる国があることを示した。
English
An agent-based model of 34 European countries (2015-2024) decomposes wind and solar expansion into domestic proactivity, international reactivity, and country-specific leadership. It identifies Lithuania, Finland, Moldova as wind leaders and Hungary, Moldova, Estonia as solar leaders, and shows that favorable structural conditions do not guarantee rapid expansion.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
欧州の再生可能エネルギー普及の構造的条件とリーダーシップの概念を提示。日本の再生可能エネルギー政策（FIT制度、系統制約など）の評価に示唆を与える可能性がある。
In the global GX context
Offers a framework to measure renewable-energy leadership conditional on structural conditions. Useful for global policymakers assessing national transition paths and the interplay of domestic fundamentals and international diffusion.
👥 読者別の含意
🔬研究者:The agent-based modeling approach to decompose renewable expansion into domestic and international factors provides a methodological template for comparative transition studies.
🏢実務担当者:Identifies structural conditions and leadership patterns that can inform corporate renewable procurement strategy in European markets.
🏛政策担当者:Highlights that countries with favorable conditions may still lag; policy should target both domestic fundamentals and international learning.
📄 Abstract（原文）
European countries differ markedly in the expansion of wind and solar electricity. A dynamic agent-based model is developed for 34 countries over 2015–2024, treating national electricity systems as heterogeneous and interconnected agents. Renewable adoption is decomposed into domestic proactivity, international reactivity, and persistent country-specific leadership. The model accounts for economic conditions, electricity-system structure, resource potential, geography, policy support, technological maturity, and exposure to renewable expansion in connected countries. The results show that leadership differs from simple observed growth and is strongly technology specific. Lithuania, Finland, and Moldova emerge as leading wind performers, while Hungary, Moldova, and Estonia lead in solar. Several countries with favourable structural conditions expand more slowly than predicted. The framework provides a conditional measure of renewable-energy leadership and clarifies how domestic fundamentals and international diffusion jointly shape national transition paths.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21114589first seen 2026-07-23 05:00:54
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